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Aportamos evidencia empírica y soluciones prácticas para transformar el uso de la tierra y la producción de alimentos: conservando y restaurando ecosistemas, respondiendo a las crisis globales del clima, la malnutrición, la pérdida de biodiversidad y la desertificación. En resumen, mejorando la vida de las personas.

CIFOR-ICRAF produce cada año más de 750 publicaciones sobre agroforestería, bosques y cambio climático, restauración de paisajes, derechos, políticas forestales y mucho más, y en varios idiomas. .

CIFOR-ICRAF aborda retos y oportunidades locales y, al mismo tiempo, ofrece soluciones a los problemas globales relacionados con los bosques, los paisajes, las personas y el planeta.

Aportamos evidencia empírica y soluciones prácticas para transformar el uso de la tierra y la producción de alimentos: conservando y restaurando ecosistemas, respondiendo a las crisis globales del clima, la malnutrición, la pérdida de biodiversidad y la desertificación. En resumen, mejorando la vida de las personas.

CIFOR–ICRAF publishes over 750 publications every year on agroforestry, forests and climate change, landscape restoration, rights, forest policy and much more – in multiple languages.

CIFOR–ICRAF addresses local challenges and opportunities while providing solutions to global problems for forests, landscapes, people and the planet.

We deliver actionable evidence and solutions to transform how land is used and how food is produced: conserving and restoring ecosystems, responding to the global climate, malnutrition, biodiversity and desertification crises. In short, improving people’s lives.

Quantifying branch architecture of tropical trees using terrestrial LiDAR and 3D modelling

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Tree architecture is the three-dimensional arrangement of above ground parts of a tree. Ecologists hypothesize that the topology of tree branches represents optimized adaptations to tree’s environment. Thus, an accurate description of tree architecture leads to a better understanding of how form is driven by function. Terrestrial laser scanning (TLS) has demonstrated its potential to characterize woody tree structure. However, most current TLS methods do not describe tree architecture. Here, we examined nine trees from a Guyanese tropical rainforest to evaluate the utility of TLS for measuring tree architecture. First, we scanned the trees and extracted individual tree point clouds. TreeQSM was used to reconstruct woody structure through 3D quantitative structure models (QSMs). From these QSMs, we calculated: (1) length and diameter of branches > 10 cm diameter, (2) branching order and (3) tree volume. To validate our method, we destructively harvested the trees and manually measured all branches over 10 cm (279). TreeQSM found and reconstructed 95% of the branches thicker than 30 cm. Comparing field and QSM data, QSM overestimated branch lengths thicker than 50 cm by 1% and underestimated diameter of branches between 20 and 60 cm by 8%. TreeQSM assigned the correct branching order in 99% of all cases and reconstructed 87% of branch lengths and 97% of tree volume. Although these results are based on nine trees, they validate a method that is an important step forward towards using tree architectural traits based on TLS and open up new possibilities to use QSMs for tree architecture.
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DOI:
https://doi.org/10.1007/s00468-018-1704-1
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